Introduction to Meta-Analysis

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. <i>Introduction to Meta-Analysis</i>: <ul> <li>Outlines the role of meta-analysis in the research process</li> <li>Shows how to compute effects sizes and treatment effects</li> <li>Explains the fixed-effect and random-effects models for synthesizing data</li> <li>Demonstrates how to assess and interpret variation in effect size across studies</li> <li>Clarifies concepts using text and figures, followed by formulas and examples</li> <li>Explains how to avoid common mistakes in meta-analysis</li> <li>Discusses controversies in meta-analysis</li> <li>Features a web site with additional material and exercises</li> </ul> <p><i>A superb combination of lucid prose and informative graphics, written by four of the world’s</i> <i>leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein</i> <i>provide a refreshing departure from cookbook approaches with their clear explanations of</i> <i>the what and why of meta-analysis. The book is ideal as a course textbook or for self-study.</i> <i>My students, who used pre-publication versions of some of the chapters, raved about the</i> <i>clarity of the explanations and examples.</i> David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics<i>.</i></p> <p><i>The approach taken by</i> Introduction to Meta-analysis <i>is intended to be primarily conceptual,</i> <i>and it is amazingly successful at achieving that goal. The reader can comfortably skip the</i> <i>formulas and still understand their application and underlying motivation. For the more</i> <i>statistically sophisticated reader, the relevant formulas and worked examples provide a superb</i> <i>practical guide to performing a meta-analysis. The book provides an eclectic mix of examples</i> <i>from education, social science, biomedical studies, and even ecology. For anyone considering</i> <i>leading a course in meta-analysis, or pursuing self-directed study, Introduction to</i> <i>Meta-analysis would be a clear first choice.</i> Jesse A. Berlin, ScD </p> <p>Introduction to Meta-Analysis <i>is an excellent resource for novices and experts alike. The book</i> <i>provides a clear and comprehensive presentation of all basic and most advanced approaches</i> <i>to meta-analysis. This book will be referenced for decades.</i> Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University</p>